5 million Americans are on the internet and social media.
They are a diverse group that includes a small number of white supremacists, white nationalists, and anti-government extremists, and they are often used to sow distrust of their political opponents.
They also skew our perceptions of reality, from their propensity to believe that President Donald Trump is a Muslim to their lack of understanding of the Constitution.
The fact that the internet is so vast makes it possible for fake news to spread.
But what if you could tell which ones are real and which are not?
A new study by researchers at the University of Wisconsin-Madison and the University at Buffalo suggests that by using an algorithm that analyzes web traffic to help identify fake news, the team could get people to stop spreading it.
The researchers created an algorithm to identify whether the traffic on a particular website was from real people or fake.
The algorithm then allowed the researchers to determine how often people were posting false information.
The results of the study are detailed in a paper that was published in the Journal of Consumer Research.
It found that users on websites like Facebook and Twitter were posting fake news at twice the rate as the real people.
The algorithms used in this study were also able to distinguish fake from real news by using information on the web to distinguish it from other information.
Fake news can be deceptive because it’s often designed to create false narratives or mislead people about the truth.
This is because it can be misleading because it relies on misrepresentation or exaggerations.
This creates a perception that there’s something wrong with a person or a government, said David Haidt, a psychology professor at the UC Berkeley and a co-author of the paper.
This has led to a backlash against politicians, and fake news can help push those people further.
Fake News, and its potential effects on the political landscape, have been discussed for decades, but until now, researchers have not been able to create a way to distinguish between real and fake.
In fact, fake news often contains more content and is harder to spot.
In the paper, Haidton and colleagues compared real news on the Internet to fake news on Facebook and YouTube.
They then looked at how often a particular user was posting fake information, comparing the two groups to what they would see if they were looking at a real person.
For example, one of the results shows that users were posting about an anti-Trump protester who had a white nationalist tattoo on her forearm.
The users who were posting a fake news story had a higher average frequency of posting than the users who weren’t.
“We found that people who post more fake news are more likely to post more than those who are not,” Haidts said.
“That is consistent with what we found in the lab.”
In other words, the people who were more likely in the real world to post fake news were more willing to do so when the people in the fake news stories were posting their own information.
“It seems that people with a particular political ideology are more inclined to share fake news,” Heddts said, because they believe it provides them with an additional source of information to spread misinformation.
The authors suggest that this is particularly true for people who hold an ideological position that can be hard to distinguish from reality.
“This is because, for people of a certain political orientation, they think that they can spread false news more easily,” Hidedt said.
Haidtt said that the study also showed that people tend to post false news when they believe that the fake stories are more trustworthy.
“So, for instance, the person who posted the story that the police officer was shooting the suspect was more likely than the person not to report that he had a weapon in his pocket, or that he was a police officer,” Hidt said, which he called a common strategy used by fake news users.
The study’s findings also suggest that the algorithms that are used to track the spread of fake news will be able to help law enforcement, prosecutors, and judges better identify fake information and take action against it.
“Our algorithm is a powerful tool for understanding how real people are presenting themselves online,” Hiden told CNNMoney.
“The technology is so advanced that we could use it to detect the actual source of fake information in real time.”
In the future, the researchers envision the technology could be used to analyze and track the online behavior of suspected terrorist groups or others who are trying to disrupt or influence democracy.
“People would be able use it in order to monitor the people that are posting and to see who’s posting and how the conversation is going,” Hida said.
In addition, the research could help law-enforcement agencies identify and take down fake news sites.
“If you can identify who’s sharing fake news and who’s not, then you can use that information to identify who is using fake news for propaganda and who is just posting it for fun,” Hiddts said with a laugh.
“These are all